Events
Time: 2024/12/6, 2 pm [Taiwan], UTC+8
Title: Utilizing Quantum Circuit for Call Option Pricing Problem and Unveiling Quantum Amplified Estimation Methods
Speaker: Miss Xuan-Wei Wang王宣瑋
Department of Applied Mathematics,
National Yang Ming Chiao Tung University
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Biography
Mr. Anandu Madhu is a PhD student in the Department of Physics at National Tsing Hua University, working in R.K. Lee’s Quantum Optics Group. His research interests include Quantum Walks, Quantum Algorithms, Optimization Problems, and Quantum Error Correction. He has participated in several hackathons conducted by IBM Quantum Hub at NTU and won prizes. Recently, he published a research article in the journal Heliyon with the title "Quantum Walk Processes in Quantum Devices."
Abstract
Simulation and programming of current quantum computers as Noisy Intermediate-Scale Quantum (NISQ) devices represent a hot topic at the border of current physical and information sciences. The quantum walk process represents a basic subroutine in many quantum algorithms and plays an important role in studying physical phenomena. Simulating quantum walk processes is computationally challenging for classical processors. With an increasing improvement in qubits fidelity and qubits number in a single register, there is a potential to improve quantum walks simulations substantially. However, efficient ways to simulate quantum walks in qubit registers still have to be explored. Here, we explore the relationship between quantum walk on graphs and quantum circuits. Firstly, we discuss ways to obtain graphs provided quantum circuit. We then explore techniques to represent quantum walk on a graph as a quantum circuit. Specifically, we study hypercube graphs and arbitrary graphs. Our approach to studying the relationship between graphs and quantum circuits paves way for the efficient implementation of quantum walks algorithms on quantum computers.
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Abstract